MACHINE-LEARNING-BASED DIGITAL PLATFORM WITH BUILT-IN FINANCIAL EXPLOITATION PROTECTION

摘要

Systems and methods for machine-learning (ML)-based platforms with built-in financial exploitation protection are provided. A method may include receiving, at a processor, a plurality of opt-ins from a plurality of contributors. The method may include retrieving and storing historical and contextual data. Historical data may include information on the activities of the contributors. The method may include training an ML module. The training may be based at least in part on the historical data. The method may include processing, via the processor and/or in conjunction with the ML module, a dataset. The processing may identify a potential exploitation. The identifying implements sentiment analysis in identifying the potential exploitation. The method may include generating a recovery package. The recovery package is one or more financial services that may be provided via the processor. The recovery package may mitigate the potential exploitation.